Data QA Engineer – Healthcare Domain

• Job Overview
• We are seeking an experienced Data QA Engineer with a strong background in the Healthcare Payer domain to lead data quality assurance initiatives across enterprise data platforms. This role requires expertise in healthcare data, HEDIS reporting, CMS interoperability standards (FHIR), and modern Azure-based data engineering environments.
• The ideal candidate will be responsible for validating complex data pipelines, implementing automated testing frameworks, ensuring regulatory compliance, and collaborating with cross-functional teams to deliver high-quality, reliable data solutions.

• Key Responsibilitie
• sData Testing & Validatio
• nDesign and execute test plans, test cases, and automated testing solutions for ELT/ETL pipelines
• .Validate healthcare payer datasets including claims, membership, provider, and clinical data
• .Perform FHIR API testing to support CMS interoperability requirements
• .Validate HEDIS measures and healthcare quality reporting data
• .QA Automation & Framework Developmen
• tDevelop and implement data quality automation strategies for Azure Databricks and Azure Data Factory
• .Create reusable test frameworks and integrate automated testing into CI/CD processes
• .Automate data validation, schema checks, reconciliation processes, and business rule testing
• .CI/CD & Data Pipeline Qualit
• yBuild and maintain Azure DevOps pipelines with automated quality gates
• .Implement automated monitoring and validation for data workflows and deployments
• .Support continuous testing practices across cloud-based data platforms
• .Technical Leadershi
• pPartner with Data Engineers, Architects, Product Owners, and Business Stakeholders to ensure end-to-end data quality
• .Build scalable automation frameworks using Python, PySpark, and SQL
• .Investigate and resolve data quality issues while promoting best practices
• .Mentor junior QA team members and provide technical guidance
• .Compliance & Governanc
• eEnsure data quality processes comply with HIPAA, CMS, and healthcare industry standards
• .Support data governance initiatives including lineage, traceability, and audit readiness
• .Document testing processes, validation results, and compliance evidence

• .
• Required Qualificatio
• nsBachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related fiel
• d.8+ years of Data QA, Data Testing, or Data Validation experienc
• e.Minimum 3 years of experience within the Healthcare Payer industr
• y.Strong experience with Azure Databricks, including Delta Lake, Delta Live Tables, Workflows, and Unity Catalo
• g.Hands-on experience with Azure Data Factory (ADF), pipeline development, monitoring, and CI/CD integratio
• n.Advanced skills in Python, PySpark, and SQ
• L.Experience with Azure DevOps and automated testing framework
• s.Knowledge of data governance, PII compliance, and enterprise data quality framework
• s.Strong communication and leadership skill

• s.
• Preferred Qualificati
• onsExperience with HL7/FHIR healthcare data mode
• ls.Knowledge of Lakehouse architecture and Medallion design patter
• ns.Experience validating reporting data using Power BI or Table
• au.Familiarity with data governance platforms such as Collib
• ra.Experience building automated regression testing frameworks for data platfor

• ms.
• Preferred Certificat
• ionsMicrosoft Certified: Azure Data Engineer Assoc
• iateAzure DevOps Engineer Assoc
• iateDatabricks Certified Data Engi

• neer
• Why A
• pply?Opportunity to work on large-scale healthcare data modernization initiat
• ives.Exposure to cutting-edge cloud and data engineering technolo
• gies.Collaborative and innovative work environ
• ment.Long-term contract-to-hire opportunity with career growth poten
• tial.Hybrid work arrangement in the Philadelphia

area.